Biblio
Analyzing domain features of small proteins using a machine-learning method. Proteomics. 2024:e2300302.
. Exploring Prognostic Gene Factors in Breast Cancer via Machine Learning. Biochem Genet. 2024.
. Identifying Autophagy-Associated Proteins and Chemicals with a Random Walk-Based Method within Heterogeneous Interaction Network. Front Biosci (Landmark Ed). 2024;29(1):21.
. Identification of key gene expression associated with quality of life after recovery from COVID-19. Med Biol Eng Comput. 2023.
. Identification of Whole-Blood DNA Methylation Signatures and Rules Associated with COVID-19 Severity. Front Biosci (Landmark Ed). 2023;28(11):284.
. Identifying genes associated with resistance to KRAS G12C inhibitors via machine learning methods. Biochim Biophys Acta Gen Subj. 2023:130484.
. Tissue differences revealed by gene expression profiles of various cell lines. J Cell Biochem. 2018.
. Analysis of Gene Expression Profiles in the Human Brain Stem, Cerebellum and Cerebral Cortex. PLoS One. 2016;11(7):e0159395.
. . . Classifying Ten Types of Major Cancers Based on Reverse Phase Protein Array Profiles. PLoS One. 2015;10(3):e0123147.
. Analysis of Tumor Suppressor Genes Based on Gene Ontology and the KEGG Pathway. PLoS One. 2014;9(9):e107202.
. Gene Ontology and KEGG Enrichment Analyses of Genes Related to Age-Related Macular Degeneration. Biomed Res Int. 2014;2014:450386.
. Predicting A-to-I RNA Editing by Feature Selection and Random Forest. PLoS One. 2014;9(10):e110607.
. Identification of lung-cancer-related genes with the shortest path approach in a protein-protein interaction network. Biomed Res Int. 2013;2013:267375.
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